The book provides a detailed account of the development, deployment, and maintenance of large-scale projects in Python. It presents concepts such as iterators, generators, error handling and exceptions, file processing and logging. It provides methods for automating application testing and...
test-driven development (TDD). It describes writing applications using the Apache Spark cluster for big data processing, developing and deploying serverless applications in the cloud using Google Cloud Platform (GCP), creating web applications and REST APIs, and using the Flask environment. It shows ways to apply the language for creating, training, and evaluating machine learning models, as well as deploying them in the cloud, and describes techniques for using Python to extract data from network devices and network management systems (NMS).
The book provides a detailed account of the development, deployment, and maintenance of large-scale projects in Python. It presents concepts such as iterators, generators, error handling and exceptions, file processing and logging. It provides methods for automating application testing and test-driven development (TDD). It describes writing applications using the Apache Spark cluster for big data processing, developing and deploying serverless applications in the cloud using Google Cloud Platform (GCP), creating web applications and REST APIs, and using the Flask environment. It shows ways to apply the language for creating, training, and evaluating machine learning models, as well as deploying them in the cloud, and describes techniques for using Python to extract data from network devices and network management systems (NMS).
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In stock
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